Single cell biology—a Keystone Symposia report

Jennifer Cable*, Michael B. Elowitz, Ana I. Domingos, Naomi Habib, Shalev Itzkovitz, Homaira Hamidzada, Michael S. Balzer, Itai Yanai, Prisca Liberali, Jessica Whited, Aaron Streets, Long Cai, Andrew B. Stergachis, Clarice Kit Yee Hong, Leeat Keren, Martin Guilliams, Uri Alon, Alex K. Shalek, Regan Hamel, Sarah J. PfauArjun Raj, Stephen R. Quake, Nancy R. Zhang, Jean Fan, Cole Trapnell, Bo Wang, Noah F. Greenwald, Roser Vento-Tormo, Silvia D.M. Santos, Sabrina L. Spencer, Hernan G. Garcia, Geethika Arekatla, Federico Gaiti, Rinat Arbel-Goren, Steffen Rulands, Jan Philipp Junker, Allon M. Klein, Samantha A. Morris, John I. Murray, Kate E. Galloway, Michael Ratz, Merrit Romeike

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state—transcriptional, epigenetic, and other characteristics—can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17–19, 2021, experts in single cell biology met virtually for the Keystone eSymposium “Single Cell Biology” to discuss advances both in single cell applications and technologies.

Original languageAmerican English
Pages (from-to)74-97
Number of pages24
JournalAnnals of the New York Academy of Sciences
Issue number1
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 New York Academy of Sciences.


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